Berdasarkan hasil penelitian yang diperoleh, dipetik saran penelitian sebagai berikut:
1) Meskipun influencer dapat memiliki pengaruh yang signifikan terhadap niat pembelian, efeknya tidak selalu konsisten dan bergantung pada berbagai
52
faktor. ,Maka, disarankan untuk penelitian lebih lanjut untuk diperlukan memahami lebih dalam mengenai bagaimana dan dalam kondisi apa keterlibatan merek oleh influencer dapat berpengaruh secara signifikan terhadap niat pembelian konsumen.
2) Penelitian ini disarankan dapat menjadi landasan bagi penelitian lanjutan.
Misalnya, penelitian mendatang dapat mengeksplorasi peran variabel lain yang mungkin memediasi hubungan antara pengaruh influencer dan niat beli merek, seperti kepercayaan konsumen atau identifikasi merek. Selain itu, penelitian dapat diperluas dengan melibatkan sampel yang lebih luas dan representatif dari berbagai industri, sehingga hasilnya dapat menjadi lebih generalisasi.
53
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59 LAMPIRAN
Lampiran 1. Kuesioner Penelitian
Assalamu’alaikum wr.wb.
Dengan hormat,
Perkenalkan nama saya Muhammad Fajar, Mahasiswa Program Studi Manajemen Fakultas Bisnis dan Ekonomika Universitas Islam Indonesia. Saat ini saya sedang melaksanakan penelitian yang berjudul “analisis pengaruh yang dirasakan dari influencer terhadap niat beli merek yang dimediasi oleh keterlibatan merek dan nilai merek yang dirasakan”
Dalam rangka mendukung penyelesaian penelitian ini, dengan segala kerendahan hati diharapkan kesediaan Bapak/Ibu/Saudara/I dengan kriteria yaitu bertempat tinggal di Yogyakarta yang mana aktif di media sosial dan mengikuti salah satu akun media sosial influencer Indonesia. Tujuan pemberian kuesioner ini semata- mata untuk tujuan ilmiah guna memenuhi Tugas Akhir (Skripsi) untuk menyelesaikan studi perkuliahan saya dimana pendapat Bapak/Ibu/Saudara/I akan dijamin kerahasiaannya dan tidak akan disebarluaskan untuk kepentingan lainnya oleh peneliti.
Demikian, saya ucapkan terima kasih atas perhatian dan kesediaan Bapak/Ibu/Saudara/I.
Wassalamu’alaikum Wr.Wb.
Peneliti,
Muhammad Fajar NIM: 18311211
60
Angket Kuesioner Section 1
Dibawah ini diharapkan Bapak/Ibu/Saudara/I untuk mengisi identitas di kolom pertanyaan yang sudah tersedia secara benar dan jujur.
Jenis Kelamin : 1) Laki-laki
2) Perempuan Usia : 1) < 20 Tahun 2) 20 – 30 Tahun 3) > 30 Tahun
Pendidikan Terakhir:
1) SD – SMP 2) SMA/Sederajat 3) Diploma/Sarjana 4) Magister
5) Lainnya
Pekerjaan saat ini : 1) Pelajar/Mahasiswa/i 2) PNS/TNI/POLRI 3) Wiraswasta 4) Pegawai Swasta
5) Belum bekerja/Ibu Rumah Tangga Pengeluaran Perbulan :
1) Kurang dari Rp 2.000.000,- per bulan 2) Rp 2.000.000,- Rp 5.000.000,- 3) Rp 5.000.000,- Rp 10.000.000,- 4) Rp 10.000.000,-
61 Section 2
Pengaruh Yang Dirasakan
Pernyataan berikut ini berkenaan dengan pengaruh yang dirasakan saudara/I terkait Influencer.
Petunjuk Pengisian
Jawablah pernyataan-pernyataan di bawah ini dengan jawaban yang menurut anda paling benar dan berilah tanda di kolom yang telah di sediakan.
Keterangan :
1. Sangat Tidak Setuju 2. Tidak Setuju
3. Netral 4. Setuju
5. Sangat Setuju
1 Persepsi saya sering berubah ketika saya menerima informasi dari pemberi pengaruh yang saya ikuti.
2 Saya menghargai pendapat influencer yang saya ikuti seolah-olah mereka adalah orang dekat yang saya percayai.
3 Influencer yang saya ikuti menyarankan produk atau merek yang bermanfaat bagi saya.
62 Section 3 Keterlibatan Merek
Pernyataan berikut ini berkenaan dengan keterlibatan merek menurut saudara/I Petunjuk Pengisian
Jawablah pernyataan-pernyataan di bawah ini dengan jawaban yang menurut anda paling benar dan berilah tanda di kolom yang telah di sediakan.
Keterangan :
1. Sangat Tidak Setuju 2. Tidak Setuju
3. Netral 4. Setuju
5. Sangat Setuju
1 Saya sering merasakan hubungan pribadi antara merek yang disarankan oleh influencer yang saya ikuti dan diri saya sendiri.
2 Sebagian dari diri saya ditentukan oleh merek yang disarankan oleh influencer yang saya ikuti.
3 Saya merasa memiliki hubungan pribadi yang dekat dengan merek yang disarankan oleh influencer yang saya ikuti.
4 Ada hubungan antara merek yang disarankan oleh influencer yang saya ikuti dan bagaimana saya memandang diri saya sendiri.
63 Section 4
Nilai Merek Yang Dirasakan
Pernyataan berikut ini berkenaan dengan nilai merek yang dirasakan saudara/I terkait Influencer
Petunjuk Pengisian
Jawablah pernyataan-pernyataan di bawah ini dengan jawaban yang menurut anda paling benar dan berilah tanda di kolom yang telah di sediakan.
Keterangan :
1. Sangat Tidak Setuju 2. Tidak Setuju
3. Netral 4. Setuju
5. Sangat Setuju
1 Menurut saya, merek-merek yang disarankan oleh para influencer yang saya ikuti memiliki standar kualitas yang dapat diterima.
2 Menurut saya, produk dari merek-merek yang disarankan oleh influencer yang saya ikuti dibuat dengan baik.
3 Merek-merek yang disarankan oleh influencer yang saya ikuti tampak menarik bagi saya.
4 Saya menilai positif merek-merek yang disarankan oleh influencer yang saya ikuti
64 Section 5 Niat Pembelian
Pernyataan berikut ini berkenaan dengan niat beli saudara/I terhadap produk yang dipengaruhi Influencer
Petunjuk Pengisian
Jawablah pernyataan-pernyataan di bawah ini dengan jawaban yang menurut anda paling benar dan berilah tanda di kolom yang telah di sediakan.
Keterangan :
1. Sangat Tidak Setuju 2. Tidak Setuju
3. Netral 4. Setuju
5. Sangat Setuju
1 Saya akan membeli sebuah merek berdasarkan saran yang diberikan oleh influencer yang saya ikuti.
2 Saya akan mengikuti rekomendasi merek dari influencer yang saya ikuti.
3 Di masa depan, saya akan membeli produk dari merek yang direkomendasikan oleh influencer yang saya ikuti.
65 Lampiran 3 Data Penelitian
N o
Pengaruh Yang
Dirasakan Keterlibatan Merek Nilai Merek Yang
Dirasakan Niat Pembelian P
Y D1
P Y D2
P Y D3
to ta l
K M 1
K M 2
K M 3
K M 4
to ta l
N M 1
N M 2
N M 3
N M 4
to ta l
N P 1
N P 2
N P 3
to ta l
1 4 4 4 1
2 4 4 3 5 1
6 4 4 4 4 1
6 4 4 5 1 3
2 5 4 5 1
4 4 4 4 5 1
7 5 5 5 5 2
0 5 5 5 1 5
3 4 3 4 1
1 5 5 4 5 1
9 4 4 4 4 1
6 5 3 4 1 2
4 4 4 4 1
2 4 4 5 5 1
8 4 4 4 4 1
6 4 4 4 1 2
5 3 3 3 9 3 3 3 3 1
2 3 3 3 4 1
3 3 3 4 1 0
6 5 4 4 1
3 3 3 3 4 1
3 4 5 5 5 1
9 4 4 5 1 3
7 3 4 3 1
0 3 3 3 3 1
2 3 3 4 4 1
4 3 4 3 1 0
8 4 5 4 1
3 4 3 4 4 1
5 5 5 4 4 1
8 5 5 5 1 5
9 3 4 3 1
0 3 3 4 3 1
3 3 3 3 3 1
2 2 4 2 8 1
0 4 4 4 1
2 4 5 5 5 1
9 4 5 4 4 1
7 4 4 4 1 2 1
1 5 5 5 1
5 5 5 4 4 1
8 5 5 4 4 1
8 5 5 4 1 4 1
2 4 3 3 1
0 4 5 5 3 1
7 3 4 4 4 1
5 4 4 4 1 2 1
3 3 3 3 9 5 5 4 4 1
8 4 4 3 3 1
4 4 3 3 1 0 1
4 4 4 3 1
1 5 5 4 5 1
9 5 5 4 4 1
8 5 3 5 1 3 1
5 5 4 4 1
3 4 4 5 4 1
7 5 5 4 4 1
8 4 4 4 1 2 1
6 5 5 5 1
5 5 5 5 3 1
8 5 5 5 4 1
9 5 5 5 1 5 1
7 3 3 4 1
0 3 4 4 4 1
5 3 3 3 3 1
2 3 4 4 1 1 1
8 4 5 5 1
4 3 3 3 4 1
3 4 4 4 4 1
6 5 5 5 1 5 1
9 3 3 3 9 3 4 3 4 1
4 3 4 3 3 1
3 3 3 4 1 0 2
0 5 5 5 1
5 3 4 3 4 1
4 4 5 5 5 1
9 4 5 4 1 3 2
1 5 3 3 1
1 3 4 4 3 1
4 2 2 2 2 8 2 2 3 7
66 2
2 3 3 3 9 4 5 4 3 1
6 2 2 2 2 8 3 2 2 7 2
3 5 4 4 1
3 3 3 4 4 1
4 5 4 4 5 1
8 5 5 4 1 4 2
4 5 3 4 1
2 4 5 5 3 1
7 3 3 3 4 1
3 4 4 3 1 1 2
5 2 2 3 7 2 3 3 3 1
1 2 2 2 1 7 2 2 1 5 2
6 4 4 4 1
2 5 5 4 4 1
8 4 4 4 4 1
6 5 4 5 1 4 2
7 3 3 3 9 4 3 3 4 1
4 3 3 3 3 1
2 3 3 4 1 0 2
8 5 4 4 1
3 4 4 4 4 1
6 5 5 5 5 2
0 5 4 5 1 4 2
9 4 4 4 1
2 5 4 5 5 1
9 5 5 4 4 1
8 4 4 5 1 3 3
0 5 3 3 1
1 4 4 4 5 1
7 5 5 5 5 2
0 5 3 5 1 3 3
1 5 4 4 1
3 3 4 3 5 1
5 5 5 5 5 2
0 5 4 4 1 3 3
2 5 3 3 1
1 3 4 3 4 1
4 4 4 4 4 1
6 4 3 4 1 1 3
3 5 4 3 1
2 4 5 5 3 1
7 3 3 4 4 1
4 3 3 4 1 0 3
4 5 5 4 1
4 5 4 5 5 1
9 5 4 4 5 1
8 4 4 4 1 2 3
5 5 4 5 1
4 4 4 3 4 1
5 4 5 4 4 1
7 5 5 4 1 4 3
6 5 5 5 1
5 5 5 4 5 1
9 4 5 4 5 1
8 4 4 4 1 2 3
7 5 5 5 1
5 3 3 3 4 1
3 4 5 5 4 1
8 4 4 5 1 3 3
8 5 3 3 1
1 5 5 5 3 1
8 3 4 3 3 1
3 3 4 3 1 0 3
9 4 4 4 1
2 2 3 2 3 1
0 3 3 3 3 1
2 3 3 4 1 0 4
0 4 4 4 1
2 2 2 3 4 1
1 4 4 3 3 1
4 3 3 4 1 0 4
1 5 4 3 1
2 5 4 4 4 1
7 3 3 4 3 1
3 4 4 4 1 2 4
2 5 5 5 1
5 4 3 3 4 1
4 5 5 5 5 2
0 4 4 5 1 3 4
3 5 4 4 1
3 2 2 3 4 1
1 3 3 3 3 1
2 4 4 4 1 2 4
4 5 4 4 1
3 4 3 4 4 1
5 4 5 5 5 1
9 5 5 5 1 5 4
5 5 4 4 1
3 3 2 3 5 1
3 4 5 5 5 1
9 5 3 4 1 2 4
6 5 3 4 1
2 4 5 5 5 1
9 4 4 5 5 1
8 4 3 5 1 2 4
7 5 3 3 1
1 5 4 5 4 1
8 5 4 5 5 1
9 5 4 4 1 3 4
8 5 5 5 1
5 5 4 5 4 1
8 4 4 4 5 1
7 4 4 5 1 3
67 4
9 5 5 4 1
4 5 5 3 5 1
8 4 5 5 5 1
9 5 5 4 1 4 5
0 5 3 3 1
1 5 3 4 5 1
7 4 4 5 5 1
8 4 3 5 1 2 5
1 5 3 3 1
1 3 4 3 3 1
3 3 3 3 3 1
2 3 3 3 9 5
2 5 4 4 1
3 3 4 3 3 1
3 4 4 4 4 1
6 4 4 4 1 2 5
3 5 4 4 1
3 4 4 4 4 1
6 4 4 4 4 1
6 4 3 4 1 1 5
4 5 5 5 1
5 5 4 4 4 1
7 4 4 4 5 1
7 5 4 4 1 3 5
5 5 2 1 8 2 1 1 2 6 1 2 2 2 7 1 1 2 4 5
6 5 5 4 1
4 4 5 5 5 1
9 4 4 4 5 1
7 5 4 4 1 3 5
7 5 4 4 1
3 5 4 4 4 1
7 5 4 5 5 1
9 5 4 4 1 3 5
8 5 3 2 1
0 3 3 3 2 1
1 2 3 3 3 1
1 3 3 2 8 5
9 5 2 3 1
0 2 3 3 3 1
1 2 2 2 2 8 2 3 3 8 6
0 5 4 4 1
3 3 4 4 4 1
5 4 3 4 4 1
5 4 4 3 1 1 6
1 5 5 4 1
4 5 5 5 4 1
9 5 4 5 5 1
9 4 4 5 1 3 6
2 5 4 4 1
3 3 4 4 3 1
4 4 3 4 4 1
5 4 3 3 1 0 6
3 5 4 5 1
4 4 4 4 5 1
7 4 5 5 5 1
9 5 5 4 1 4 6
4 5 5 5 1
5 5 5 5 5 2
0 5 5 5 5 2
0 5 4 5 1 4 6
5 5 5 4 1
4 5 4 4 4 1
7 4 5 5 5 1
9 4 4 5 1 3 6
6 5 4 4 1
3 5 4 4 5 1
8 5 5 5 4 1
9 4 4 5 1 3 6
7 5 5 5 1
5 4 4 5 4 1
7 5 4 5 4 1
8 5 5 5 1 5 6
8 5 5 4 1
4 4 4 5 4 1
7 3 4 5 5 1
7 4 5 5 1 4 6
9 5 3 4 1
2 3 3 3 3 1
2 4 3 3 4 1
4 3 3 4 1 0 7
0 5 5 5 1
5 4 5 4 2 1
5 2 3 4 4 1
3 4 4 5 1 3 7
1 5 4 4 1
3 5 5 5 5 2
0 5 4 5 5 1
9 5 4 5 1 4 7
2 5 5 5 1
5 4 4 5 5 1
8 5 5 5 5 2
0 4 5 4 1 3 7
3 5 5 5 1
5 5 5 4 3 1
7 3 3 5 5 1
6 5 5 5 1 5 7
4 5 4 4 1
3 4 5 5 4 1
8 5 5 4 4 1
8 3 3 4 1 0 7
5 5 5 5 1
5 4 4 5 3 1
6 3 3 4 3 1
3 3 5 4 1 2
68 7
6 5 3 4 1
2 3 3 3 2 1
1 3 2 3 3 1
1 2 3 3 8 7
7 5 3 2 1
0 3 3 2 2 1
0 2 3 2 2 9 3 2 2 7 7
8 5 4 4 1
3 4 4 3 3 1
4 3 4 3 4 1
4 3 3 4 1 0 7
9 5 4 4 1
3 5 4 5 4 1
8 5 4 5 4 1
8 5 5 5 1 5 8
0 5 5 5 1
5 4 4 3 3 1
4 4 3 4 4 1
5 4 5 4 1 3 8
1 5 4 5 1
4 5 5 5 4 1
9 4 5 5 5 1
9 4 5 5 1 4 8
2 5 4 3 1
2 4 4 5 3 1
6 4 3 3 3 1
3 3 3 4 1 0 8
3 5 4 4 1
3 4 4 5 5 1
8 5 4 5 5 1
9 5 4 5 1 4 8
4 5 5 5 1
5 5 5 5 4 1
9 3 3 5 5 1
6 5 5 4 1 4 8
5 5 4 4 1
3 3 3 3 3 1
2 3 4 4 4 1
5 3 4 4 1 1 8
6 5 4 4 1
3 4 4 4 5 1
7 4 5 4 5 1
8 4 4 5 1 3 8
7 5 3 3 1
1 3 3 3 3 1
2 3 4 3 4 1
4 3 4 3 1 0 8
8 5 4 4 1
3 5 4 5 4 1
8 5 5 5 4 1
9 4 3 5 1 2 8
9 5 5 4 1
4 5 5 4 3 1
7 3 4 5 5 1
7 4 5 5 1 4 9
0 5 5 5 1
5 4 4 4 4 1
6 4 3 5 4 1
6 5 4 5 1 4 9
1 5 5 5 1
5 5 5 5 5 2
0 4 4 5 4 1
7 5 4 5 1 4 9
2 5 5 5 1
5 4 5 5 5 1
9 4 4 5 5 1
8 4 5 5 1 4 9
3 5 4 5 1
4 3 3 4 4 1
4 5 5 5 5 2
0 4 4 5 1 3 9
4 3 3 3 9 4 4 5 3 1
6 3 4 3 3 1
3 3 3 4 1 0 9
5 4 5 3 1
2 5 5 5 4 1
9 5 5 5 4 1
9 5 5 4 1 4 9
6 4 3 4 1
1 5 5 5 4 1
9 5 5 5 5 2
0 5 3 5 1 3 9
7 4 5 5 1
4 4 5 4 5 1
8 4 4 5 5 1
8 5 4 4 1 3 9
8 5 5 5 1
5 5 4 4 5 1
8 5 5 4 5 1
9 4 5 4 1 3 9
9 3 3 3 9 3 4 4 2 1
3 2 3 3 3 1
1 2 3 2 7 1
0 0
4 4 3 1
1 2 3 2 4 1
1 3 3 2 2 1
0 2 4 3 9 1
0 1
3 3 3 9 3 4 4 3 1
4 4 4 4 4 1
6 5 3 3 1 1
69 1
0 2
4 4 4 1
2 5 4 5 5 1
9 4 4 4 5 1
7 3 4 5 1 2 1
0 3
3 3 3 9 5 4 5 3 1
7 3 4 4 4 1
5 3 4 4 1 1 1
0 4
4 4 4 1
2 5 4 5 4 1
8 4 5 5 5 1
9 5 4 4 1 3 1
0 5
4 5 4 1
3 4 4 5 4 1
7 5 5 4 5 1
9 4 5 4 1 3 1
0 6
4 5 4 1
3 4 5 4 4 1
7 4 4 5 5 1
8 3 5 5 1 3 1
0 7
3 3 3 9 5 5 4 4 1
8 5 5 5 4 1
9 4 3 5 1 2 1
0 8
3 4 3 1
0 4 4 4 4 1
6 3 4 4 4 1
5 5 4 3 1 2 1
0 9
4 3 4 1
1 4 4 4 3 1
5 4 3 4 4 1
5 4 3 3 1 0 1
1 0
3 4 3 1
0 4 4 3 3 1
4 3 3 4 3 1
3 3 4 3 1 0 1
1 1
5 5 5 1
5 3 3 4 5 1
5 4 4 4 5 1
7 5 5 4 1 4 1
1 2
3 4 3 1
0 5 5 4 5 1
9 5 5 5 5 2
0 4 4 4 1 2 1
1 3
3 3 3 9 2 3 2 3 1
0 2 2 2 3 9 3 4 2 9 1
1 4
3 4 3 1
0 4 4 3 3 1
4 3 3 4 3 1
3 4 3 4 1 1 1
1 5
4 4 4 1
2 5 4 5 4 1
8 5 5 5 5 2
0 4 4 4 1 2 1
1 6
3 3 4 1
0 5 5 5 3 1
8 3 3 4 4 1
4 5 3 4 1 2 1
1 7
4 5 5 1
4 5 4 5 5 1
9 5 5 5 4 1
9 5 5 5 1 5 1
1 8
4 4 4 1
2 5 5 4 5 1
9 4 4 5 4 1
7 4 5 4 1 3 1
1 9
4 4 5 1
3 4 4 4 5 1
7 4 5 5 5 1
9 5 5 5 1 5
70 1
2 0
3 3 3 9 4 5 5 4 1
8 4 4 4 5 1
7 4 3 5 1 2 1
2 1
3 4 3 1
0 4 4 4 3 1
5 3 4 4 3 1
4 4 3 4 1 1 1
2 2
4 3 4 1
1 4 4 4 3 1
5 4 3 4 3 1
4 3 4 4 1 1 1
2 3
5 4 5 1
4 4 4 4 3 1
5 3 3 5 5 1
6 4 5 4 1 3 1
2 4
5 5 5 1
5 4 4 5 5 1
8 4 4 5 4 1
7 5 5 4 1 4 1
2 5
3 4 4 1
1 4 5 5 5 1
9 4 4 5 5 1
8 5 5 5 1 5 1
2 6
4 3 3 1
0 5 5 4 4 1
8 3 3 5 4 1
5 5 4 5 1 4 1
2 7
5 4 5 1
4 5 5 4 5 1
9 4 4 5 5 1
8 4 5 5 1 4 1
2 8
4 4 5 1
3 3 3 3 5 1
4 4 4 5 5 1
8 4 4 5 1 3 1
2 9
3 3 4 1
0 4 4 4 3 1
5 3 3 3 4 1
3 3 3 3 9 1
3 0
5 5 5 1
5 5 4 5 5 1
9 4 4 4 4 1
6 5 5 5 1 5 1
3 1
4 3 3 1
0 5 5 5 3 1
8 3 3 3 4 1
3 4 4 4 1 2 1
3 2
4 3 4 1
1 4 4 4 3 1
5 4 4 4 4 1
6 3 4 3 1 0 1
3 3
5 5 5 1
5 4 5 4 5 1
8 4 4 5 5 1
8 5 4 5 1 4 1
3 4
4 5 4 1
3 5 4 5 5 1
9 4 5 5 5 1
9 4 5 4 1 3 1
3 5
5 5 5 1
5 4 4 4 5 1
7 5 4 5 4 1
8 5 5 4 1 4 1
3 6
4 4 4 1
2 5 5 5 5 2
0 4 4 5 4 1
7 4 5 5 1 4 1
3 7
4 4 4 1
2 4 4 3 5 1
6 4 4 5 5 1
8 4 4 4 1 2
71 1
3 8
3 3 3 9 4 4 3 4 1
5 3 4 4 4 1
5 5 4 3 1 2 1
3 9
3 4 3 1
0 4 5 4 4 1
7 4 4 5 4 1
7 5 4 4 1 3 1
4 0
4 5 4 1
3 4 3 3 5 1
5 4 5 4 5 1
8 5 4 5 1 4
Lampiran 4 Uji Pilot Test
1. Pengaruh Yang Dirasakan Reliability Statistics Cronbach’s
Alpha N of Items
.837 4
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach’s Alpha if Item
Deleted
PYD1 19.7800 10.910 .649 .820
PYD2 20.3000 10.500 .797 .782
PYD3 20.3200 10.753 .797 .790
Total 12.0800 3.789 1.000 .769
2. Keterlibatan Merek Reliability Statistics Cronbach’s
Alpha N of Items
.797 5
Item-Total Statistics
72 Scale Mean if
Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach’s Alpha if Item
Deleted
KM1 27.5000 18.459 .859 .708
KM2 27.4600 19.641 .731 .741
KM3 27.5000 20.459 .690 .756
KM4 27.3000 23.480 .325 .822
Total 15.6800 6.589 1.000 .733
3. Nilai Merek Yang Dirasakan Reliability Statistics Cronbach’s
Alpha N of Items
.844 5
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach’s Alpha if Item
Deleted
NM1 27.9800 34.347 .868 .807
NM2 27.8000 33.796 .886 .801
NM3 27.9200 34.075 .905 .802
NM4 27.8800 33.536 .885 .799
Total 15.9400 11.037 1.000 .934
4. Niat Pembelian Reliability Statistics Cronbach’s
Alpha N of Items
.841 4
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach’s Alpha if Item
Deleted
NP1 19.8200 12.926 .835 .775
NP2 20.0400 14.039 .696 .822
73
NP3 19.7400 13.462 .742 .803
Total 11.9200 4.769 1.000 .784
Lampiran Analisis SEM
Assessment of normality (Group number 1) Variable min max skew c.r. kurtosis c.r.
NP3 1,000 5,000 -,930 -4,493 ,683 1,648 NP2 1,000 5,000 -,460 -2,223 -,011 -,027 NP1 1,000 5,000 -,676 -3,265 -,067 -,163 NM1 1,000 5,000 -,460 -2,221 -,236 -,570 NM2 2,000 5,000 -,388 -1,874 -,647 -1,562 NM3 2,000 5,000 -,790 -3,818 -,213 -,514 NM4 1,000 5,000 -,888 -4,288 ,458 1,105 KM4 2,000 5,000 -,290 -1,400 -,883 -2,132 KM3 1,000 5,000 -,548 -2,648 -,148 -,358 KM2 1,000 5,000 -,666 -3,219 ,533 1,287 KM1 2,000 5,000 -,534 -2,579 -,517 -1,249 PYD1 2,000 5,000 -,869 -4,198 -,612 -1,477 PYD2 2,000 5,000 -,207 -,999 -,876 -2,116 PYD3 1,000 5,000 -,341 -1,647 -,109 -,262
Multivariate -6,028 -1,685
Observations farthest from the centroid (Mahalanobis distance) (Group number 1)
Observation number Mahalanobis d-squared p1 p2
55 36,344 ,001 ,122
25 30,432 ,007 ,239
74
Observation number Mahalanobis d-squared p1 p2
70 25,248 ,032 ,832
100 23,570 ,052 ,934
45 23,080 ,059 ,921
50 22,072 ,077 ,963
77 20,939 ,103 ,992
106 19,742 ,138 ,999
113 19,160 ,159 1,000
59 19,142 ,160 ,999
95 18,846 ,171 1,000
38 18,819 ,172 ,999
23 18,791 ,173 ,998
116 18,618 ,180 ,997
22 18,570 ,182 ,995
120 18,500 ,185 ,991
126 18,451 ,187 ,986
9 17,970 ,208 ,995
101 17,788 ,217 ,995
49 17,494 ,231 ,997
8 17,494 ,231 ,993
107 17,388 ,236 ,992
74 17,259 ,243 ,991
47 17,101 ,251 ,991
35 17,088 ,252 ,984
34 16,945 ,259 ,984
58 16,849 ,264 ,981
140 16,806 ,267 ,973
36 16,792 ,267 ,959
21 16,735 ,271 ,947
46 16,669 ,274 ,935
75
Observation number Mahalanobis d-squared p1 p2
56 16,527 ,282 ,936
16 16,403 ,289 ,935
102 16,200 ,301 ,948
75 16,175 ,303 ,929
43 16,139 ,305 ,908
73 16,050 ,310 ,899
112 15,953 ,316 ,892
76 15,872 ,321 ,880
24 15,824 ,324 ,857
14 15,787 ,327 ,826
11 15,712 ,331 ,809
41 15,540 ,342 ,832
131 15,390 ,352 ,847
89 15,364 ,354 ,812
99 15,261 ,361 ,809
103 15,235 ,362 ,770
105 15,225 ,363 ,718
37 15,202 ,364 ,669
68 15,199 ,365 ,605
82 15,002 ,378 ,661
80 14,831 ,390 ,701
98 14,782 ,393 ,669
33 14,514 ,412 ,764
40 14,453 ,417 ,742
18 14,292 ,428 ,776
123 14,277 ,429 ,730
69 14,230 ,433 ,699
54 14,227 ,433 ,639
125 14,187 ,436 ,601
76
Observation number Mahalanobis d-squared p1 p2
138 14,066 ,445 ,617
129 14,008 ,449 ,591
84 13,811 ,464 ,660
79 13,742 ,469 ,643
7 13,706 ,472 ,603
128 13,644 ,477 ,581
111 13,609 ,479 ,539
88 13,587 ,481 ,488
122 13,582 ,481 ,425
121 13,546 ,484 ,384
94 13,470 ,490 ,373
20 13,392 ,496 ,363
108 13,372 ,497 ,315
3 13,370 ,498 ,259
134 13,365 ,498 ,209
13 13,357 ,499 ,168
124 13,324 ,501 ,142
130 13,224 ,509 ,146
114 13,223 ,509 ,110
118 13,156 ,514 ,102
17 13,128 ,516 ,083
110 13,126 ,517 ,060
127 13,111 ,518 ,045
62 13,093 ,519 ,033
90 13,092 ,519 ,023
30 13,088 ,520 ,015
139 13,058 ,522 ,011
31 12,865 ,537 ,018
97 12,824 ,540 ,014
77
Observation number Mahalanobis d-squared p1 p2
78 12,795 ,543 ,010
27 12,712 ,549 ,010
96 12,673 ,552 ,008
5 12,621 ,557 ,006
87 12,575 ,560 ,005
48 12,540 ,563 ,003
42 12,493 ,567 ,003
39 12,455 ,570 ,002
44 12,339 ,579 ,002
12 12,297 ,582 ,002
93 12,235 ,587 ,001
Model Fit Summary CMIN
Model NPAR CMIN DF P CMIN/DF
Default model 36 130,478 69 ,000 1,891
Saturated model 105 ,000 0
Independence model 14 1293,823 91 ,000 14,218 RMR, GFI
Model RMR GFI AGFI PGFI
Default model ,064 ,894 ,838 ,587 Saturated model ,000 1,000
Independence model ,332 ,252 ,137 ,219 Baseline Comparisons
Model NFI
Delta1
RFI rho1
IFI Delta2
TLI
rho2 CFI Default model ,899 ,867 ,950 ,933 ,949
Saturated model 1,000 1,000 1,000
Independence model ,000 ,000 ,000 ,000 ,000
78
Parsimony-Adjusted Measures
Model PRATIO PNFI PCFI
Default model ,758 ,682 ,719 Saturated model ,000 ,000 ,000 Independence model 1,000 ,000 ,000 NCP
Model NCP LO 90 HI 90
Default model 61,478 33,088 97,680
Saturated model ,000 ,000 ,000
Independence model 1202,823 1090,256 1322,799 FMIN
Model FMIN F0 LO 90 HI 90
Default model ,939 ,442 ,238 ,703 Saturated model ,000 ,000 ,000 ,000 Independence model 9,308 8,653 7,844 9,517
RMSEA
Model RMSEA LO 90 HI 90 PCLOSE
Default model ,080 ,059 ,101 ,012
Independence model ,308 ,294 ,323 ,000 AIC
Model AIC BCC BIC CAIC
Default model 202,478 211,188 308,377 344,377 Saturated model 210,000 235,403 518,872 623,872 Independence model 1321,823 1325,210 1363,006 1377,006
ECVI
Model ECVI LO 90 HI 90 MECVI
Default model 1,457 1,252 1,717 1,519 Saturated model 1,511 1,511 1,511 1,694 Independence model 9,510 8,700 10,373 9,534
79 HOELTER
Model HOELTER
.05
HOELTER .01
Default model 96 106
Independence model 13 14
Standardized Total Effects (Group number 1 - Default model)
PYD KM NM NP
KM ,371 ,000 ,000 ,000 NM ,595 ,502 ,000 ,000 NP ,832 ,475 ,747 ,000 NP3 ,603 ,345 ,542 ,726 NP2 ,545 ,312 ,490 ,656 NP1 ,586 ,335 ,526 ,705 NM1 ,442 ,373 ,743 ,000 NM2 ,430 ,363 ,723 ,000 NM3 ,532 ,448 ,894 ,000 NM4 ,500 ,422 ,840 ,000 KM4 ,152 ,410 ,000 ,000 KM3 ,280 ,755 ,000 ,000 KM2 ,281 ,757 ,000 ,000 KM1 ,334 ,900 ,000 ,000 PYD1 ,484 ,000 ,000 ,000 PYD2 ,829 ,000 ,000 ,000 PYD3 ,856 ,000 ,000 ,000
Standardized Direct Effects (Group number 1 - Default model)
PYD KM NM NP
KM ,371 ,000 ,000 ,000
80
PYD KM NM NP
NM ,409 ,502 ,000 ,000 NP ,350 ,100 ,747 ,000 NP3 ,000 ,000 ,000 ,726 NP2 ,000 ,000 ,000 ,656 NP1 ,000 ,000 ,000 ,705 NM1 ,000 ,000 ,743 ,000 NM2 ,000 ,000 ,723 ,000 NM3 ,000 ,000 ,894 ,000 NM4 ,000 ,000 ,840 ,000 KM4 ,000 ,410 ,000 ,000 KM3 ,000 ,755 ,000 ,000 KM2 ,000 ,757 ,000 ,000 KM1 ,000 ,900 ,000 ,000 PYD1 ,484 ,000 ,000 ,000 PYD2 ,829 ,000 ,000 ,000 PYD3 ,856 ,000 ,000 ,000
Standardized Indirect Effects (Group number 1 - Default model)
PYD KM NM NP
KM ,000 ,000 ,000 ,000 NM ,186 ,000 ,000 ,000 NP ,482 ,375 ,000 ,000 NP3 ,603 ,345 ,542 ,000 NP2 ,545 ,312 ,490 ,000 NP1 ,586 ,335 ,526 ,000 NM1 ,442 ,373 ,000 ,000 NM2 ,430 ,363 ,000 ,000 NM3 ,532 ,448 ,000 ,000
81
PYD KM NM NP
NM4 ,500 ,422 ,000 ,000 KM4 ,152 ,000 ,000 ,000 KM3 ,280 ,000 ,000 ,000 KM2 ,281 ,000 ,000 ,000 KM1 ,334 ,000 ,000 ,000 PYD1 ,000 ,000 ,000 ,000 PYD2 ,000 ,000 ,000 ,000 PYD3 ,000 ,000 ,000 ,000
Regression Weights: (Group number 1 - Default model) Estimate S.E. C.R. P Label
KM <--- PYD ,420 ,111 3,791 *** par_1 NM <--- PYD ,417 ,081 5,153 *** par_2 NM <--- KM ,452 ,074 6,078 *** par_6 NP <--- PYD ,310 ,081 3,845 *** par_3 NP <--- KM ,079 ,057 1,387 ,165 par_4 NP <--- NM ,651 ,105 6,222 *** par_5 PYD3 <--- PYD 1,000
PYD2 <--- PYD ,957 ,096 9,966 *** par_7 PYD1 <--- PYD ,552 ,098 5,655 *** par_8 KM1 <--- KM 1,000
KM2 <--- KM ,771 ,079 9,817 *** par_9 KM3 <--- KM ,831 ,089 9,394 *** par_10 KM4 <--- KM ,452 ,095 4,748 *** par_11 NM4 <--- NM 1,000
NM3 <--- NM 1,070 ,074 14,376 *** par_12 NM2 <--- NM ,852 ,083 10,254 *** par_13 NM1 <--- NM ,910 ,086 10,570 *** par_14